• DocumentCode
    3379264
  • Title

    Optimization of visual presentation of MRI image for accurate detection of tumor in human brain using virtual instrument

  • Author

    Lakshmi, A.P. ; Samata, P.

  • Author_Institution
    VNRVignana Jyothi Inst. of Eng. & Tech., Hyderabad, India
  • fYear
    2012
  • fDate
    5-7 Dec. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Brain tumor is the uncharacteristic growth of cells inside the brain or the skull that can either be cancerous (malign) or non-cancerous (benign) [1]. A very important aspect in clinical practice is the early detection and classification of brain tumors. The value of advanced imaging platforms such as magnetic resonance imaging (MRI) for early detection of tumor remains unclear. The paper applies Lab VIEW software for detecting and locating early stage brain tumors from MRI data. Here we designed a system which enhances the MRI data and gives the exact location and the area of the tumor required for the diagnostic and analysis of tumor easily. The estimation time required to perform the inspection is also obtained from the performance meter.
  • Keywords
    biomedical MRI; brain; cancer; image classification; medical image processing; optimisation; tumours; LabVIEW software; MRI image; brain tumors; cancer; human brain; image classification; magnetic resonance imaging; optimization; tumor detection; virtual instrument; visual presentation; Abstracts; Authentication; Magnetic resonance imaging; Manuals; Medical treatment; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering International Conference (BMEiCON), 2012
  • Conference_Location
    Ubon Ratchathani
  • Print_ISBN
    978-1-4673-4890-4
  • Type

    conf

  • DOI
    10.1109/BMEiCon.2012.6465428
  • Filename
    6465428